Instructions to use xanderhuang/controlnet-normal-sd1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xanderhuang/controlnet-normal-sd1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xanderhuang/controlnet-normal-sd1.5", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8eb4bd165f382a2a7d56e613f4bd685bdc51a41a21a171f15dca95bea0b4aae5
- Size of remote file:
- 1.45 GB
- SHA256:
- a6956b0bc9e9f8d6524d7627f9e1e4acc53b524085e0926ba3be6a295ea68bc8
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